# GrumpyDev

> Use this tool when you need to improve code quality through harsh but informative feedback. GrumpyDev provides thorough critiques of code input, pointing out mistakes and inefficiencies in a sarcastic tone, helping developers refine their skills. It accepts code as input and returns detailed, condescending reviews, making it ideal for those seeking brutally honest feedback to enhance their programming abilities.

Canonical page: https://skillsregistry.net/skills/grumpydev  
JSON: https://api.skillsregistry.net/v1/skills/grumpydev

## Description

GrumpyDev MCP is a server that lets AI assistants get code reviews from a simulated grumpy senior developer with 40+ years of experience. Created by Yohan Lasorsa, this tool provides thorough, sarcastic, and slightly condescending feedback on code quality, pointing out mistakes, inefficiencies, and bad practices. The implementation uses GenAIScript to define a review_code tool that accepts code input and returns detailed critiques in a distinctive grumpy tone, making it useful for developers seeking brutally honest feedback on their code.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/grumpydev)
- **Repository:** <https://github.com/sinedied/grumpydev-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "grumpydev"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/grumpydev` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/grumpydev/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt